Comprehensive Bipolar Crisis Detection
SteadyMind's crisis detection system monitors both poles of bipolar disorder with intelligent analysis, providing early warning and immediate intervention resources.
📈 Manic Episode Detection
Advanced monitoring of manic symptoms with multi-factor analysis and emphasis on sleep disruption as the most reliable early indicator.
Crisis Detection Triggers:
- Critical Sleep Disruption: ≤3 hours sleep while feeling rested (highest priority indicator)
- Extreme Mood/Energy: 9-10/10 levels with behavioral symptoms
- Multiple Severe Symptoms: ≥2 severe behavioral indicators simultaneously
- Behavioral Clusters: Racing thoughts + grandiosity + impulsivity
Monitored Indicators:
- Racing thoughts (rapid thinking patterns)
- Grandiosity (inflated self-esteem)
- Impulsivity (poor decision-making)
- Rapid speech and excessive talkativeness
- Physical restlessness and hyperactivity
- Risk-taking behaviors
- Unusual optimism and distractibility
📉 Depression Crisis Detection
Comprehensive monitoring of depressive episodes with immediate suicidal ideation detection and crisis intervention protocols.
Crisis Detection Triggers:
- Extreme Low Levels: Mood or energy ≤1/10 (immediate crisis indicator)
- Severe Combined Depression: Both mood and energy ≤2/10
- High Hopelessness/Worthlessness: Either scale ≥8/10
- Suicidal Ideation: Any indication triggers immediate crisis protocol
Depressive Mood Indicators:
- Hopelessness (feelings of despair about the future)
- Worthlessness and excessive guilt
- Concentration difficulty and decision-making problems
- Social withdrawal and isolation behaviors
- Loss of interest in previously enjoyed activities
- Severe fatigue beyond normal low energy
- Significant appetite changes
- Suicidal ideation and thoughts of death
🧠 How the Algorithm Works
Our crisis detection system uses a sophisticated multi-factor scoring approach that analyzes patterns over time rather than relying on single indicators, ensuring accuracy while minimizing false alarms.
1️⃣ Sleep Pattern Analysis
Sleep disruption receives the highest weighting as it's the most reliable early indicator of manic episodes. The system monitors sleep hours (0-15+ range), sleep quality, and the critical "feeling rested despite little sleep" indicator.
2️⃣ Multi-Factor Scoring
Each symptom receives weighted scores based on clinical significance. Sleep disruption and suicidal ideation get maximum priority, while multiple moderate symptoms can trigger alerts even without single severe indicators.
3️⃣ Baseline Learning
The system establishes personalized baselines over 14+ days to understand individual patterns, reducing false positives by accounting for personal variations in mood and energy levels.
4️⃣ Pattern Recognition
Advanced statistical analysis identifies concerning trends and correlations, looking for sustained patterns rather than isolated incidents to ensure accuracy.
Risk Level Classification
🟢 Low Risk
Score: <2
Normal fluctuations within established baselines. Continued monitoring and routine self-care recommendations.
🟡 Moderate Risk
Score: 2-4
Concerning patterns detected. Increased self-monitoring, sleep hygiene focus, and optional healthcare provider contact.
🟠 High Risk
Score: 4-6
Significant episode risk. Healthcare provider contact recommended, activity modifications, and enhanced support resources.
🔴 Crisis Risk
Score: ≥6
Immediate crisis intervention needed. Emergency resources provided, professional intervention strongly recommended.
⚕️ Medical Accuracy Standards
Our algorithms are designed with accuracy and safety as the highest priorities, following pattern recognition and evidence-based practices.
📋 Pattern-Based Analysis
Crisis detection criteria based on established behavioral patterns and symptom clusters for manic and major depressive episodes.
🔬 Algorithm Calibration
Algorithms calibrated to avoid over-diagnosis while ensuring genuine crises are detected. Sleep patterns weighted heavily as most reliable indicators.
📊 Statistical Rigor
Confidence scoring prevents false positives from incomplete data. Multiple symptom requirements ensure diagnostic accuracy.
👥 Personalized Baselines
Individual pattern learning over 14+ days reduces false alarms by accounting for personal variations in mood and behavior.
⚠️ Important Medical Disclaimer
SteadyMind is not a substitute for professional medical care. While our algorithms are designed for pattern recognition, they are intended as supportive tools alongside professional treatment. Always consult healthcare providers for serious mental health concerns and follow their guidance for crisis situations.
🚨 Immediate Crisis Resources
If you're experiencing a mental health crisis, please seek immediate help using these resources:
🇺🇸 Crisis Lifeline
24/7 Suicide & Crisis Prevention
📱 Crisis Text Line
Free, confidential text support
🚨 Emergency Services
Immediate emergency response
🏥 NAMI Helpline
National Alliance on Mental Illness
Crisis detection in SteadyMind automatically surfaces these resources when risk levels indicate the need for immediate support.
🛡️ Safety Features & Privacy
🔒 Complete Privacy
All crisis detection processing occurs locally on your device. No mental health data is transmitted to servers or shared without explicit consent.
⏰ Cooldown Periods
Intelligent alert management prevents notification spam while ensuring genuine crises are never missed.
👤 User Control
Users can acknowledge, dismiss, or provide feedback on risk assessments to improve algorithm accuracy over time.
🎯 Precision Targeting
Multi-factor analysis prevents false alarms from single symptoms while maintaining sensitivity to genuine crisis situations.